Quality_Test

Dataset statistics

Number of variables	29
Number of observations	2085494
Missing cells	17849110
Missing cells (%)	29.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 GiB
Average record size in memory	1.0 KiB

Variable types

DateTime	2
Categorical	6
Unsupported	1
Numeric	8
Text	12

Alerts

`NUMBER OF PEDESTRIANS KILLED` is highly imbalanced (99.6%)	Imbalance
`NUMBER OF CYCLIST INJURED` is highly imbalanced (92.3%)	Imbalance
`NUMBER OF CYCLIST KILLED` is highly imbalanced (99.9%)	Imbalance
`CONTRIBUTING FACTOR VEHICLE 4` is highly imbalanced (90.8%)	Imbalance
`CONTRIBUTING FACTOR VEHICLE 5` is highly imbalanced (89.9%)	Imbalance
`BOROUGH` has 648930 (31.1%) missing values	Missing
`ZIP CODE` has 649184 (31.1%) missing values	Missing
`LATITUDE` has 234300 (11.2%) missing values	Missing
`LONGITUDE` has 234300 (11.2%) missing values	Missing
`LOCATION` has 234300 (11.2%) missing values	Missing
`ON STREET NAME` has 443414 (21.3%) missing values	Missing
`CROSS STREET NAME` has 789605 (37.9%) missing values	Missing
`OFF STREET NAME` has 1734453 (83.2%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 2` has 324030 (15.5%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 3` has 1936332 (92.8%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 4` has 2051785 (98.4%) missing values	Missing
`CONTRIBUTING FACTOR VEHICLE 5` has 2076357 (99.6%) missing values	Missing
`VEHICLE TYPE CODE 2` has 399976 (19.2%) missing values	Missing
`VEHICLE TYPE CODE 3` has 1941769 (93.1%) missing values	Missing
`VEHICLE TYPE CODE 4` has 2052958 (98.4%) missing values	Missing
`VEHICLE TYPE CODE 5` has 2076637 (99.6%) missing values	Missing
`LATITUDE` is highly skewed (γ1 = -20.39832654)	Skewed
`NUMBER OF PERSONS KILLED` is highly skewed (γ1 = 33.61661618)	Skewed
`NUMBER OF MOTORIST KILLED` is highly skewed (γ1 = 54.56006989)	Skewed
`COLLISION_ID` has unique values	Unique
`ZIP CODE` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`NUMBER OF PERSONS INJURED` has 1607054 (77.1%) zeros	Zeros
`NUMBER OF PERSONS KILLED` has 2082457 (99.9%) zeros	Zeros
`NUMBER OF PEDESTRIANS INJURED` has 1972076 (94.6%) zeros	Zeros
`NUMBER OF MOTORIST INJURED` has 1780333 (85.4%) zeros	Zeros
`NUMBER OF MOTORIST KILLED` has 2084302 (99.9%) zeros	Zeros

Reproduction

Analysis started	2024-05-07 03:12:49.209694
Analysis finished	2024-05-07 03:13:48.986679
Duration	59.78 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

CRASH DATE
Date

Distinct	4325
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.9 MiB

Minimum	2012-07-01 00:00:00
Maximum	2024-05-03 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

CRASH TIME
Date

Distinct	1440
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.9 MiB

Minimum	2024-05-06 00:00:00
Maximum	2024-05-06 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

BOROUGH
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	648930
Missing (%)	31.1%
Memory size	127.9 MiB

BROOKLYN	457165
QUEENS	385197
MANHATTAN	321417
BRONX	212475
STATEN ISLAND	60310

Length

Max length	13
Median length	9
Mean length	7.4536603
Min length	5

Characters and Unicode

Total characters	10707660
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BROOKLYN
2nd row	BROOKLYN
3rd row	BRONX
4th row	BROOKLYN
5th row	MANHATTAN

Common Values

Value	Count	Frequency (%)
BROOKLYN	457165	21.9%
QUEENS	385197	18.5%
MANHATTAN	321417	15.4%
BRONX	212475	10.2%
STATEN ISLAND	60310	2.9%
(Missing)	648930	31.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
brooklyn	457165	30.5%
queens	385197	25.7%
manhattan	321417	21.5%
bronx	212475	14.2%
staten	60310	4.0%
island	60310	4.0%

Most occurring characters

Value	Count	Frequency (%)
N	1818291	17.0%
O	1126805	10.5%
A	1084871	10.1%
E	830704	7.8%
T	763454	7.1%
R	669640	6.3%
B	669640	6.3%
L	517475	4.8%
S	505817	4.7%
Y	457165	4.3%
Other values (9)	2263798	21.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10707660	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	1818291	17.0%
O	1126805	10.5%
A	1084871	10.1%
E	830704	7.8%
T	763454	7.1%
R	669640	6.3%
B	669640	6.3%
L	517475	4.8%
S	505817	4.7%
Y	457165	4.3%
Other values (9)	2263798	21.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10707660	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	1818291	17.0%
O	1126805	10.5%
A	1084871	10.1%
E	830704	7.8%
T	763454	7.1%
R	669640	6.3%
B	669640	6.3%
L	517475	4.8%
S	505817	4.7%
Y	457165	4.3%
Other values (9)	2263798	21.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10707660	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	1818291	17.0%
O	1126805	10.5%
A	1084871	10.1%
E	830704	7.8%
T	763454	7.1%
R	669640	6.3%
B	669640	6.3%
L	517475	4.8%
S	505817	4.7%
Y	457165	4.3%
Other values (9)	2263798	21.1%

ZIP CODE
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	649184
Missing (%)	31.1%
Memory size	75.1 MiB

LATITUDE
Real number (ℝ)

MISSING SKEWED

Distinct	126738
Distinct (%)	6.8%
Missing	234300
Missing (%)	11.2%
Infinite	0
Infinite (%)	0.0%
Mean	40.627378

Minimum	0
Maximum	43.344444
Zeros	4396
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	0
5-th percentile	40.596612
Q1	40.667774
median	40.720764
Q3	40.769612
95-th percentile	40.86204
Maximum	43.344444
Range	43.344444
Interquartile range (IQR)	0.1018378

Descriptive statistics

Standard deviation	1.9837524
Coefficient of variation (CV)	0.04882797
Kurtosis	414.76605
Mean	40.627378
Median Absolute Deviation (MAD)	0.0513402
Skewness	-20.398327
Sum	75209158
Variance	3.9352735
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4396	0.2%
40.861862	889	< 0.1%
40.696033	771	< 0.1%
40.8047	692	< 0.1%
40.608757	671	< 0.1%
40.798256	627	< 0.1%
40.759308	625	< 0.1%
40.6960346	587	< 0.1%
40.675735	559	< 0.1%
40.658577	523	< 0.1%
Other values (126728)	1840854	88.3%
(Missing)	234300	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4396	0.2%
30.78418	1	< 0.1%
34.783634	1	< 0.1%
40.498947	1	< 0.1%
40.4989488	2	< 0.1%
40.4991346	1	< 0.1%
40.49931	1	< 0.1%
40.4994787	1	< 0.1%
40.499659	1	< 0.1%
40.49971	1	< 0.1%

Value	Count	Frequency (%)
43.344444	1	< 0.1%
42.64154	1	< 0.1%
42.318317	1	< 0.1%
42.107204	1	< 0.1%
41.91661	1	< 0.1%
41.34796	1	< 0.1%
41.258785	1	< 0.1%
41.12615	5	< 0.1%
41.12421	1	< 0.1%
41.061634	2	< 0.1%

LONGITUDE
Real number (ℝ)

MISSING

Distinct	98436
Distinct (%)	5.3%
Missing	234300
Missing (%)	11.2%
Infinite	0
Infinite (%)	0.0%
Mean	-73.751547

Minimum	-201.35999
Maximum	0
Zeros	4396
Zeros (%)	0.2%
Negative	1846798
Negative (%)	88.6%
Memory size	15.9 MiB

Quantile statistics

Minimum	-201.35999
5-th percentile	-74.03613
Q1	-73.97483
median	-73.92726
Q3	-73.866731
95-th percentile	-73.76325
Maximum	0
Range	201.35999
Interquartile range (IQR)	0.1080989

Descriptive statistics

Standard deviation	3.7281252
Coefficient of variation (CV)	-0.05054979
Kurtosis	439.11784
Mean	-73.751547
Median Absolute Deviation (MAD)	0.052606
Skewness	16.106495
Sum	-1.3652842 × 10⁸
Variance	13.898918
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4396	0.2%
-73.89063	768	< 0.1%
-73.91282	719	< 0.1%
-73.98453	700	< 0.1%
-74.038086	672	< 0.1%
-73.89686	659	< 0.1%
-73.91243	654	< 0.1%
-73.94476	590	< 0.1%
-73.9845292	587	< 0.1%
-73.9112	581	< 0.1%
Other values (98426)	1840868	88.3%
(Missing)	234300	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-201.35999	1	< 0.1%
-201.23706	105	< 0.1%
-89.13527	1	< 0.1%
-86.76847	1	< 0.1%
-79.61955	1	< 0.1%
-79.00183	1	< 0.1%
-76.2634	1	< 0.1%
-76.02163	1	< 0.1%
-74.742	7	< 0.1%
-74.25496	1	< 0.1%

Value	Count	Frequency (%)
0	4396	0.2%
-32.768513	16	< 0.1%
-47.209625	3	< 0.1%
-73.66301	1	< 0.1%
-73.70055	2	< 0.1%
-73.700584	11	< 0.1%
-73.7005968	10	< 0.1%
-73.70061	4	< 0.1%
-73.70071	4	< 0.1%
-73.70073	1	< 0.1%

LOCATION
Text

MISSING

Distinct	284545
Distinct (%)	15.4%
Missing	234300
Missing (%)	11.2%
Memory size	148.0 MiB

Length

Max length	25
Median length	24
Mean length	22.774418
Min length	10

Characters and Unicode

Total characters	42159866
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	156445 ?
Unique (%)	8.5%

Sample

1st row	(40.667202, -73.8665)
2nd row	(40.683304, -73.917274)
3rd row	(40.709183, -73.956825)
4th row	(40.86816, -73.83148)
5th row	(40.67172, -73.8971)

Value	Count	Frequency (%)
0.0	8792	0.2%
40.861862	889	< 0.1%
40.696033	771	< 0.1%
73.89063	768	< 0.1%
73.91282	719	< 0.1%
73.98453	700	< 0.1%
40.8047	692	< 0.1%
74.038086	672	< 0.1%
40.608757	671	< 0.1%
73.89686	659	< 0.1%
Other values (225163)	3687055	99.6%

Most occurring characters

Value	Count	Frequency (%)
7	4617330	11.0%
4	4000028	9.5%
.	3702388	8.8%
3	3515270	8.3%
0	3417232	8.1%
9	2712408	6.4%
8	2661399	6.3%
6	2629407	6.2%
5	2104583	5.0%
(	1851194	4.4%
Other values (6)	10948627	26.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	42159866	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
7	4617330	11.0%
4	4000028	9.5%
.	3702388	8.8%
3	3515270	8.3%
0	3417232	8.1%
9	2712408	6.4%
8	2661399	6.3%
6	2629407	6.2%
5	2104583	5.0%
(	1851194	4.4%
Other values (6)	10948627	26.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	42159866	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
7	4617330	11.0%
4	4000028	9.5%
.	3702388	8.8%
3	3515270	8.3%
0	3417232	8.1%
9	2712408	6.4%
8	2661399	6.3%
6	2629407	6.2%
5	2104583	5.0%
(	1851194	4.4%
Other values (6)	10948627	26.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	42159866	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
7	4617330	11.0%
4	4000028	9.5%
.	3702388	8.8%
3	3515270	8.3%
0	3417232	8.1%
9	2712408	6.4%
8	2661399	6.3%
6	2629407	6.2%
5	2104583	5.0%
(	1851194	4.4%
Other values (6)	10948627	26.0%

ON STREET NAME
Text

MISSING

Distinct	18458
Distinct (%)	1.1%
Missing	443414
Missing (%)	21.3%
Memory size	149.1 MiB

Length

Max length	32
Median length	32
Mean length	29.56421
Min length	2

Characters and Unicode

Total characters	48546798
Distinct characters	75
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6551 ?
Unique (%)	0.4%

Sample

1st row	WHITESTONE EXPRESSWAY
2nd row	QUEENSBORO BRIDGE UPPER
3rd row	THROGS NECK BRIDGE
4th row	SARATOGA AVENUE
5th row	MAJOR DEEGAN EXPRESSWAY RAMP

Value	Count	Frequency (%)
avenue	610782	16.1%
street	522974	13.8%
east	154098	4.1%
boulevard	127527	3.4%
west	115215	3.0%
parkway	75148	2.0%
road	68379	1.8%
expressway	63767	1.7%
island	30625	0.8%
queens	27288	0.7%
Other values (5394)	1993059	52.6%

Most occurring characters

Value	Count	Frequency (%)
	27572212	56.8%
E	3689040	7.6%
A	1960159	4.0%
T	1839600	3.8%
R	1677642	3.5%
N	1434455	3.0%
S	1414317	2.9%
U	981985	2.0%
O	872965	1.8%
V	855815	1.8%
Other values (65)	6248608	12.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48546798	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	27572212	56.8%
E	3689040	7.6%
A	1960159	4.0%
T	1839600	3.8%
R	1677642	3.5%
N	1434455	3.0%
S	1414317	2.9%
U	981985	2.0%
O	872965	1.8%
V	855815	1.8%
Other values (65)	6248608	12.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48546798	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	27572212	56.8%
E	3689040	7.6%
A	1960159	4.0%
T	1839600	3.8%
R	1677642	3.5%
N	1434455	3.0%
S	1414317	2.9%
U	981985	2.0%
O	872965	1.8%
V	855815	1.8%
Other values (65)	6248608	12.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48546798	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	27572212	56.8%
E	3689040	7.6%
A	1960159	4.0%
T	1839600	3.8%
R	1677642	3.5%
N	1434455	3.0%
S	1414317	2.9%
U	981985	2.0%
O	872965	1.8%
V	855815	1.8%
Other values (65)	6248608	12.9%

CROSS STREET NAME
Text

MISSING

Distinct	20256
Distinct (%)	1.6%
Missing	789605
Missing (%)	37.9%
Memory size	122.6 MiB

Length

Max length	32
Median length	32
Mean length	22.670409
Min length	1

Characters and Unicode

Total characters	29378334
Distinct characters	76
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6202 ?
Unique (%)	0.5%

Sample

1st row	20 AVENUE
2nd row	DECATUR STREET
3rd row	EAST 43 STREET
4th row	EAST GATE PLAZA
5th row	west 80 street -west 81 street

Value	Count	Frequency (%)
avenue	567479	19.8%
street	461146	16.1%
east	112564	3.9%
west	71342	2.5%
boulevard	68928	2.4%
road	55777	1.9%
place	34080	1.2%
parkway	26719	0.9%
3	18826	0.7%
park	17492	0.6%
Other values (5485)	1431852	50.0%

Most occurring characters

Value	Count	Frequency (%)
	14121512	48.1%
E	2948298	10.0%
T	1458774	5.0%
A	1425079	4.9%
R	1151727	3.9%
N	1079107	3.7%
S	992513	3.4%
U	780282	2.7%
V	711591	2.4%
O	580789	2.0%
Other values (66)	4128662	14.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29378334	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	14121512	48.1%
E	2948298	10.0%
T	1458774	5.0%
A	1425079	4.9%
R	1151727	3.9%
N	1079107	3.7%
S	992513	3.4%
U	780282	2.7%
V	711591	2.4%
O	580789	2.0%
Other values (66)	4128662	14.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29378334	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	14121512	48.1%
E	2948298	10.0%
T	1458774	5.0%
A	1425079	4.9%
R	1151727	3.9%
N	1079107	3.7%
S	992513	3.4%
U	780282	2.7%
V	711591	2.4%
O	580789	2.0%
Other values (66)	4128662	14.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29378334	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	14121512	48.1%
E	2948298	10.0%
T	1458774	5.0%
A	1425079	4.9%
R	1151727	3.9%
N	1079107	3.7%
S	992513	3.4%
U	780282	2.7%
V	711591	2.4%
O	580789	2.0%
Other values (66)	4128662	14.1%

OFF STREET NAME
Text

MISSING

Distinct	227639
Distinct (%)	64.8%
Missing	1734453
Missing (%)	83.2%
Memory size	84.0 MiB

Length

Max length	40
Median length	40
Mean length	35.917465
Min length	8

Characters and Unicode

Total characters	12608503
Distinct characters	84
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	177508 ?
Unique (%)	50.6%

Sample

1st row	1211 LORING AVENUE
2nd row	344 BAYCHESTER AVENUE
3rd row	2047 PITKIN AVENUE
4th row	480 DEAN STREET
5th row	878 FLATBUSH AVENUE

Value	Count	Frequency (%)
avenue	139121	11.9%
street	126988	10.9%
east	33467	2.9%
west	24196	2.1%
boulevard	22279	1.9%
road	16574	1.4%
lot	7881	0.7%
parking	7267	0.6%
parkway	6996	0.6%
of	6954	0.6%
Other values (27625)	775853	66.4%

Most occurring characters

Value	Count	Frequency (%)
	6887772	54.6%
E	803446	6.4%
T	439996	3.5%
A	411834	3.3%
R	342330	2.7%
N	300915	2.4%
S	288305	2.3%
1	279274	2.2%
U	204657	1.6%
V	190938	1.5%
Other values (74)	2459036	19.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12608503	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	6887772	54.6%
E	803446	6.4%
T	439996	3.5%
A	411834	3.3%
R	342330	2.7%
N	300915	2.4%
S	288305	2.3%
1	279274	2.2%
U	204657	1.6%
V	190938	1.5%
Other values (74)	2459036	19.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12608503	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	6887772	54.6%
E	803446	6.4%
T	439996	3.5%
A	411834	3.3%
R	342330	2.7%
N	300915	2.4%
S	288305	2.3%
1	279274	2.2%
U	204657	1.6%
V	190938	1.5%
Other values (74)	2459036	19.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12608503	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	6887772	54.6%
E	803446	6.4%
T	439996	3.5%
A	411834	3.3%
R	342330	2.7%
N	300915	2.4%
S	288305	2.3%
1	279274	2.2%
U	204657	1.6%
V	190938	1.5%
Other values (74)	2459036	19.5%

NUMBER OF PERSONS INJURED
Real number (ℝ)

ZEROS

Distinct	32
Distinct (%)	< 0.1%
Missing	18
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.31104122

Minimum	0
Maximum	43
Zeros	1607054
Zeros (%)	77.1%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	43
Range	43
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.70104436
Coefficient of variation (CV)	2.2538632
Kurtosis	50.982476
Mean	0.31104122
Median Absolute Deviation (MAD)	0
Skewness	4.2497531
Sum	648669
Variance	0.49146319
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	1607054	77.1%
1	371328	17.8%
2	69944	3.4%
3	22850	1.1%
4	8466	0.4%
5	3249	0.2%
6	1361	0.1%
7	579	< 0.1%
8	255	< 0.1%
9	130	< 0.1%
Other values (22)	260	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1607054	77.1%
1	371328	17.8%
2	69944	3.4%
3	22850	1.1%
4	8466	0.4%
5	3249	0.2%
6	1361	0.1%
7	579	< 0.1%
8	255	< 0.1%
9	130	< 0.1%

Value	Count	Frequency (%)
43	1	< 0.1%
40	1	< 0.1%
34	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
27	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
23	1	< 0.1%
22	3	< 0.1%

NUMBER OF PERSONS KILLED
Real number (ℝ)

SKEWED ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	31
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.0015003862

Minimum	0
Maximum	8
Zeros	2082457
Zeros (%)	99.9%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.040839716
Coefficient of variation (CV)	27.219468
Kurtosis	1922.4521
Mean	0.0015003862
Median Absolute Deviation (MAD)	0
Skewness	33.616616
Sum	3129
Variance	0.0016678824
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	2082457	99.9%
1	2913	0.1%
2	75	< 0.1%
3	12	< 0.1%
4	3	< 0.1%
5	2	< 0.1%
8	1	< 0.1%
(Missing)	31	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2082457	99.9%
1	2913	0.1%
2	75	< 0.1%
3	12	< 0.1%
4	3	< 0.1%
5	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
5	2	< 0.1%
4	3	< 0.1%
3	12	< 0.1%
2	75	< 0.1%
1	2913	0.1%
0	2082457	99.9%

NUMBER OF PEDESTRIANS INJURED
Real number (ℝ)

ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.056723731

Minimum	0
Maximum	27
Zeros	1972076
Zeros (%)	94.6%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	27
Range	27
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2443857
Coefficient of variation (CV)	4.3083502
Kurtosis	127.90885
Mean	0.056723731
Median Absolute Deviation (MAD)	0
Skewness	5.6654502
Sum	118297
Variance	0.059724369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	1972076	94.6%
1	109261	5.2%
2	3679	0.2%
3	369	< 0.1%
4	61	< 0.1%
5	25	< 0.1%
6	11	< 0.1%
7	4	< 0.1%
9	2	< 0.1%
8	2	< 0.1%
Other values (4)	4	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1972076	94.6%
1	109261	5.2%
2	3679	0.2%
3	369	< 0.1%
4	61	< 0.1%
5	25	< 0.1%
6	11	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
27	1	< 0.1%
19	1	< 0.1%
15	1	< 0.1%
13	1	< 0.1%
9	2	< 0.1%
8	2	< 0.1%
7	4	< 0.1%
6	11	< 0.1%
5	25	< 0.1%
4	61	< 0.1%

NUMBER OF PEDESTRIANS KILLED
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	115.4 MiB

0	2083961
1	1520
2	12
6	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2085494
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2083961	99.9%
1	1520	0.1%
2	12	< 0.1%
6	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2083961	99.9%
1	1520	0.1%
2	12	< 0.1%
6	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2083961	99.9%
1	1520	0.1%
2	12	< 0.1%
6	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2083961	99.9%
1	1520	0.1%
2	12	< 0.1%
6	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2083961	99.9%
1	1520	0.1%
2	12	< 0.1%
6	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2083961	99.9%
1	1520	0.1%
2	12	< 0.1%
6	1	< 0.1%

NUMBER OF CYCLIST INJURED
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	115.4 MiB

0	2030012
1	54849
2	609
3	23
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2085494
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2030012	97.3%
1	54849	2.6%
2	609	< 0.1%
3	23	< 0.1%
4	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2030012	97.3%
1	54849	2.6%
2	609	< 0.1%
3	23	< 0.1%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2030012	97.3%
1	54849	2.6%
2	609	< 0.1%
3	23	< 0.1%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2030012	97.3%
1	54849	2.6%
2	609	< 0.1%
3	23	< 0.1%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2030012	97.3%
1	54849	2.6%
2	609	< 0.1%
3	23	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2030012	97.3%
1	54849	2.6%
2	609	< 0.1%
3	23	< 0.1%
4	1	< 0.1%

NUMBER OF CYCLIST KILLED
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	115.4 MiB

0	2085254
1	239
2	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2085494
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2085254	> 99.9%
1	239	< 0.1%
2	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2085254	> 99.9%
1	239	< 0.1%
2	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	2085254	> 99.9%
1	239	< 0.1%
2	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2085254	> 99.9%
1	239	< 0.1%
2	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2085254	> 99.9%
1	239	< 0.1%
2	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2085494	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2085254	> 99.9%
1	239	< 0.1%
2	1	< 0.1%

NUMBER OF MOTORIST INJURED
Real number (ℝ)

ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.22369904

Minimum	0
Maximum	43
Zeros	1780333
Zeros (%)	85.4%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	43
Range	43
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.66221489
Coefficient of variation (CV)	2.9602939
Kurtosis	63.304937
Mean	0.22369904
Median Absolute Deviation (MAD)	0
Skewness	5.1139917
Sum	466523
Variance	0.43852857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	1780333	85.4%
1	205209	9.8%
2	63820	3.1%
3	22153	1.1%
4	8292	0.4%
5	3198	0.2%
6	1315	0.1%
7	553	< 0.1%
8	247	< 0.1%
9	125	< 0.1%
Other values (21)	249	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1780333	85.4%
1	205209	9.8%
2	63820	3.1%
3	22153	1.1%
4	8292	0.4%
5	3198	0.2%
6	1315	0.1%
7	553	< 0.1%
8	247	< 0.1%
9	125	< 0.1%

Value	Count	Frequency (%)
43	1	< 0.1%
40	1	< 0.1%
34	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
25	1	< 0.1%
24	3	< 0.1%
23	1	< 0.1%
22	2	< 0.1%
21	1	< 0.1%

NUMBER OF MOTORIST KILLED
Real number (ℝ)

SKEWED ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.00061807898

Minimum	0
Maximum	5
Zeros	2084302
Zeros (%)	99.9%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.027193584
Coefficient of variation (CV)	43.99694
Kurtosis	4196.5461
Mean	0.00061807898
Median Absolute Deviation (MAD)	0
Skewness	54.56007
Sum	1289
Variance	0.000739491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	2084302	99.9%
1	1117	0.1%
2	59	< 0.1%
3	12	< 0.1%
4	2	< 0.1%
5	2	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2084302	99.9%
1	1117	0.1%
2	59	< 0.1%
3	12	< 0.1%
4	2	< 0.1%
5	2	< 0.1%

Value	Count	Frequency (%)
5	2	< 0.1%
4	2	< 0.1%
3	12	< 0.1%
2	59	< 0.1%
1	1117	0.1%
0	2084302	99.9%

CONTRIBUTING FACTOR VEHICLE 1
Text

Distinct	61
Distinct (%)	< 0.1%
Missing	6865
Missing (%)	0.3%
Memory size	151.9 MiB

Length

Max length	53
Median length	43
Mean length	19.513255
Min length	1

Characters and Unicode

Total characters	40560818
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aggressive Driving/Road Rage
2nd row	Pavement Slippery
3rd row	Following Too Closely
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
unspecified	709158	17.1%
driver	450464	10.9%
inattention/distraction	417718	10.1%
too	163564	3.9%
closely	163564	3.9%
to	148902	3.6%
failure	130215	3.1%
yield	123992	3.0%
right-of-way	123992	3.0%
following	111587	2.7%
Other values (96)	1600235	38.6%

Most occurring characters

Value	Count	Frequency (%)
i	4563606	11.3%
e	4131184	10.2%
n	3525907	8.7%
t	2814191	6.9%
o	2393126	5.9%
r	2382367	5.9%
s	2107618	5.2%
	2064762	5.1%
a	2001035	4.9%
c	1562117	3.9%
Other values (45)	13014905	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	40560818	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	4563606	11.3%
e	4131184	10.2%
n	3525907	8.7%
t	2814191	6.9%
o	2393126	5.9%
r	2382367	5.9%
s	2107618	5.2%
	2064762	5.1%
a	2001035	4.9%
c	1562117	3.9%
Other values (45)	13014905	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	40560818	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	4563606	11.3%
e	4131184	10.2%
n	3525907	8.7%
t	2814191	6.9%
o	2393126	5.9%
r	2382367	5.9%
s	2107618	5.2%
	2064762	5.1%
a	2001035	4.9%
c	1562117	3.9%
Other values (45)	13014905	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	40560818	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	4563606	11.3%
e	4131184	10.2%
n	3525907	8.7%
t	2814191	6.9%
o	2393126	5.9%
r	2382367	5.9%
s	2107618	5.2%
	2064762	5.1%
a	2001035	4.9%
c	1562117	3.9%
Other values (45)	13014905	32.1%

CONTRIBUTING FACTOR VEHICLE 2
Text

MISSING

Distinct	61
Distinct (%)	< 0.1%
Missing	324030
Missing (%)	15.5%
Memory size	127.6 MiB

Length

Max length	53
Median length	11
Mean length	13.049252
Min length	1

Characters and Unicode

Total characters	22985787
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
unspecified	1483034	68.6%
driver	101442	4.7%
inattention/distraction	94701	4.4%
other	33254	1.5%
vehicular	32189	1.5%
too	27894	1.3%
closely	27894	1.3%
passing	21660	1.0%
to	21608	1.0%
lane	20197	0.9%
Other values (96)	296990	13.7%

Most occurring characters

Value	Count	Frequency (%)
i	3623508	15.8%
e	3526950	15.3%
n	2060162	9.0%
s	1765767	7.7%
c	1673714	7.3%
d	1556899	6.8%
p	1553108	6.8%
f	1539442	6.7%
U	1519713	6.6%
t	622043	2.7%
Other values (45)	3544481	15.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	22985787	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	3623508	15.8%
e	3526950	15.3%
n	2060162	9.0%
s	1765767	7.7%
c	1673714	7.3%
d	1556899	6.8%
p	1553108	6.8%
f	1539442	6.7%
U	1519713	6.6%
t	622043	2.7%
Other values (45)	3544481	15.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	22985787	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	3623508	15.8%
e	3526950	15.3%
n	2060162	9.0%
s	1765767	7.7%
c	1673714	7.3%
d	1556899	6.8%
p	1553108	6.8%
f	1539442	6.7%
U	1519713	6.6%
t	622043	2.7%
Other values (45)	3544481	15.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	22985787	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	3623508	15.8%
e	3526950	15.3%
n	2060162	9.0%
s	1765767	7.7%
c	1673714	7.3%
d	1556899	6.8%
p	1553108	6.8%
f	1539442	6.7%
U	1519713	6.6%
t	622043	2.7%
Other values (45)	3544481	15.4%

CONTRIBUTING FACTOR VEHICLE 3
Text

MISSING

Distinct	51
Distinct (%)	< 0.1%
Missing	1936332
Missing (%)	92.8%
Memory size	68.9 MiB

Length

Max length	53
Median length	11
Mean length	11.657151
Min length	1

Characters and Unicode

Total characters	1738804
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Value	Count	Frequency (%)
unspecified	139044	85.8%
other	2839	1.8%
vehicular	2799	1.7%
driver	2150	1.3%
too	2024	1.2%
closely	2024	1.2%
following	1970	1.2%
inattention/distraction	1967	1.2%
fatigued/drowsy	853	0.5%
pavement	414	0.3%
Other values (79)	5951	3.7%

Most occurring characters

Value	Count	Frequency (%)
e	297136	17.1%
i	295801	17.0%
n	152490	8.8%
s	146038	8.4%
c	145473	8.4%
d	141153	8.1%
p	140719	8.1%
f	139955	8.0%
U	139713	8.0%
o	17376	1.0%
Other values (45)	122950	7.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1738804	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	297136	17.1%
i	295801	17.0%
n	152490	8.8%
s	146038	8.4%
c	145473	8.4%
d	141153	8.1%
p	140719	8.1%
f	139955	8.0%
U	139713	8.0%
o	17376	1.0%
Other values (45)	122950	7.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1738804	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	297136	17.1%
i	295801	17.0%
n	152490	8.8%
s	146038	8.4%
c	145473	8.4%
d	141153	8.1%
p	140719	8.1%
f	139955	8.0%
U	139713	8.0%
o	17376	1.0%
Other values (45)	122950	7.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1738804	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	297136	17.1%
i	295801	17.0%
n	152490	8.8%
s	146038	8.4%
c	145473	8.4%
d	141153	8.1%
p	140719	8.1%
f	139955	8.0%
U	139713	8.0%
o	17376	1.0%
Other values (45)	122950	7.1%

CONTRIBUTING FACTOR VEHICLE 4
Categorical

IMBALANCE MISSING

Distinct	41
Distinct (%)	0.1%
Missing	2051785
Missing (%)	98.4%
Memory size	127.4 MiB

Unspecified	31793
Other Vehicular	623
Following Too Closely	392
Driver Inattention/Distraction	278
Fatigued/Drowsy	170
Other values (36)	453

Length

Max length	43
Median length	11
Mean length	11.490818
Min length	5

Characters and Unicode

Total characters	387344
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Common Values

Value	Count	Frequency (%)
Unspecified	31793	1.5%
Other Vehicular	623	< 0.1%
Following Too Closely	392	< 0.1%
Driver Inattention/Distraction	278	< 0.1%
Fatigued/Drowsy	170	< 0.1%
Pavement Slippery	119	< 0.1%
Reaction to Uninvolved Vehicle	42	< 0.1%
Unsafe Speed	32	< 0.1%
Outside Car Distraction	29	< 0.1%
Driver Inexperience	27	< 0.1%
Other values (31)	204	< 0.1%
(Missing)	2051785	98.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	31793	88.1%
other	632	1.8%
vehicular	623	1.7%
too	397	1.1%
closely	397	1.1%
following	392	1.1%
driver	305	0.8%
inattention/distraction	278	0.8%
fatigued/drowsy	170	0.5%
pavement	122	0.3%
Other values (64)	975	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	67193	17.3%
i	66571	17.2%
n	33888	8.7%
c	32970	8.5%
s	32946	8.5%
p	32161	8.3%
d	32149	8.3%
f	31921	8.2%
U	31901	8.2%
o	3097	0.8%
Other values (41)	22547	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	387344	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	67193	17.3%
i	66571	17.2%
n	33888	8.7%
c	32970	8.5%
s	32946	8.5%
p	32161	8.3%
d	32149	8.3%
f	31921	8.2%
U	31901	8.2%
o	3097	0.8%
Other values (41)	22547	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	387344	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	67193	17.3%
i	66571	17.2%
n	33888	8.7%
c	32970	8.5%
s	32946	8.5%
p	32161	8.3%
d	32149	8.3%
f	31921	8.2%
U	31901	8.2%
o	3097	0.8%
Other values (41)	22547	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	387344	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	67193	17.3%
i	66571	17.2%
n	33888	8.7%
c	32970	8.5%
s	32946	8.5%
p	32161	8.3%
d	32149	8.3%
f	31921	8.2%
U	31901	8.2%
o	3097	0.8%
Other values (41)	22547	5.8%

CONTRIBUTING FACTOR VEHICLE 5
Categorical

IMBALANCE MISSING

Distinct	30
Distinct (%)	0.3%
Missing	2076357
Missing (%)	99.6%
Memory size	127.3 MiB

Unspecified	8611
Other Vehicular	181
Following Too Closely	99
Driver Inattention/Distraction	65
Pavement Slippery	50
Other values (25)	131

Length

Max length	43
Median length	11
Mean length	11.469738
Min length	5

Characters and Unicode

Total characters	104799
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	0.1%

Sample

1st row	Unspecified
2nd row	Unspecified
3rd row	Unspecified
4th row	Unspecified
5th row	Unspecified

Common Values

Value	Count	Frequency (%)
Unspecified	8611	0.4%
Other Vehicular	181	< 0.1%
Following Too Closely	99	< 0.1%
Driver Inattention/Distraction	65	< 0.1%
Pavement Slippery	50	< 0.1%
Fatigued/Drowsy	41	< 0.1%
Reaction to Uninvolved Vehicle	12	< 0.1%
Alcohol Involvement	11	< 0.1%
Obstruction/Debris	10	< 0.1%
Driver Inexperience	10	< 0.1%
Other values (20)	47	< 0.1%
(Missing)	2076357	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
unspecified	8611	88.2%
other	183	1.9%
vehicular	181	1.9%
too	101	1.0%
closely	101	1.0%
following	99	1.0%
driver	75	0.8%
inattention/distraction	65	0.7%
pavement	51	0.5%
slippery	50	0.5%
Other values (47)	251	2.6%

Most occurring characters

Value	Count	Frequency (%)
e	18245	17.4%
i	18001	17.2%
n	9144	8.7%
c	8935	8.5%
s	8884	8.5%
p	8739	8.3%
d	8696	8.3%
f	8638	8.2%
U	8634	8.2%
o	788	0.8%
Other values (40)	6095	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	104799	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	18245	17.4%
i	18001	17.2%
n	9144	8.7%
c	8935	8.5%
s	8884	8.5%
p	8739	8.3%
d	8696	8.3%
f	8638	8.2%
U	8634	8.2%
o	788	0.8%
Other values (40)	6095	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	104799	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	18245	17.4%
i	18001	17.2%
n	9144	8.7%
c	8935	8.5%
s	8884	8.5%
p	8739	8.3%
d	8696	8.3%
f	8638	8.2%
U	8634	8.2%
o	788	0.8%
Other values (40)	6095	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	104799	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	18245	17.4%
i	18001	17.2%
n	9144	8.7%
c	8935	8.5%
s	8884	8.5%
p	8739	8.3%
d	8696	8.3%
f	8638	8.2%
U	8634	8.2%
o	788	0.8%
Other values (40)	6095	5.8%

COLLISION_ID
Real number (ℝ)

UNIQUE

Distinct	2085494
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3167144.8

Minimum	22
Maximum	4722272
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.9 MiB

Quantile statistics

Minimum	22
5-th percentile	105128.65
Q1	3157493.2
median	3678992.5
Q3	4200608.8
95-th percentile	4617783.3
Maximum	4722272
Range	4722250
Interquartile range (IQR)	1043115.5

Descriptive statistics

Standard deviation	1505387.7
Coefficient of variation (CV)	0.47531383
Kurtosis	-0.019103384
Mean	3167144.8
Median Absolute Deviation (MAD)	521558
Skewness	-1.226785
Sum	6.6050615 × 10¹²
Variance	2.2661922 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4455765	1	< 0.1%
3174628	1	< 0.1%
3172280	1	< 0.1%
3160927	1	< 0.1%
3173224	1	< 0.1%
3171866	1	< 0.1%
3172720	1	< 0.1%
3162782	1	< 0.1%
3168818	1	< 0.1%
3159257	1	< 0.1%
Other values (2085484)	2085484	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	1	< 0.1%
23	1	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
26	1	< 0.1%
27	1	< 0.1%
28	1	< 0.1%
29	1	< 0.1%
30	1	< 0.1%
31	1	< 0.1%

Value	Count	Frequency (%)
4722272	1	< 0.1%
4722270	1	< 0.1%
4722268	1	< 0.1%
4722265	1	< 0.1%
4722264	1	< 0.1%
4722263	1	< 0.1%
4722260	1	< 0.1%
4722259	1	< 0.1%
4722254	1	< 0.1%
4722253	1	< 0.1%

VEHICLE TYPE CODE 1
Text

Distinct	1647
Distinct (%)	0.1%
Missing	13866
Missing (%)	0.7%
Memory size	146.4 MiB

Length

Max length	38
Median length	35
Mean length	16.882971
Min length	1

Characters and Unicode

Total characters	34975236
Distinct characters	75
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1001 ?
Unique (%)	< 0.1%

Sample

1st row	Sedan
2nd row	Sedan
3rd row	Sedan
4th row	Sedan
5th row	Dump

Value	Count	Frequency (%)
vehicle	883823	18.0%
utility	637368	13.0%
station	637325	13.0%
sedan	623996	12.7%
wagon/sport	457034	9.3%
passenger	416219	8.5%
	181675	3.7%
wagon	180355	3.7%
sport	180291	3.7%
truck	86442	1.8%
Other values (957)	618147	12.6%

Most occurring characters

Value	Count	Frequency (%)
	2844267	8.1%
S	2747229	7.9%
t	2318875	6.6%
i	1953175	5.6%
E	1819085	5.2%
a	1632608	4.7%
e	1623631	4.6%
n	1560172	4.5%
o	1447330	4.1%
T	1142647	3.3%
Other values (65)	15886217	45.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34975236	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2844267	8.1%
S	2747229	7.9%
t	2318875	6.6%
i	1953175	5.6%
E	1819085	5.2%
a	1632608	4.7%
e	1623631	4.6%
n	1560172	4.5%
o	1447330	4.1%
T	1142647	3.3%
Other values (65)	15886217	45.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34975236	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2844267	8.1%
S	2747229	7.9%
t	2318875	6.6%
i	1953175	5.6%
E	1819085	5.2%
a	1632608	4.7%
e	1623631	4.6%
n	1560172	4.5%
o	1447330	4.1%
T	1142647	3.3%
Other values (65)	15886217	45.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34975236	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2844267	8.1%
S	2747229	7.9%
t	2318875	6.6%
i	1953175	5.6%
E	1819085	5.2%
a	1632608	4.7%
e	1623631	4.6%
n	1560172	4.5%
o	1447330	4.1%
T	1142647	3.3%
Other values (65)	15886217	45.4%

VEHICLE TYPE CODE 2
Text

MISSING

Distinct	1834
Distinct (%)	0.1%
Missing	399976
Missing (%)	19.2%
Memory size	129.7 MiB

Length

Max length	38
Median length	30
Mean length	16.079394
Min length	1

Characters and Unicode

Total characters	27102108
Distinct characters	73
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1085 ?
Unique (%)	0.1%

Sample

1st row	Sedan
2nd row	Pick-up Truck
3rd row	Sedan
4th row	Tractor Truck Diesel
5th row	Sedan

Value	Count	Frequency (%)
vehicle	655799	17.1%
utility	468831	12.2%
station	468803	12.2%
sedan	438283	11.4%
wagon/sport	328599	8.5%
passenger	318612	8.3%
	141517	3.7%
wagon	140257	3.6%
sport	140204	3.6%
truck	85798	2.2%
Other values (1011)	658039	17.1%

Most occurring characters

Value	Count	Frequency (%)
	2172192	8.0%
S	2038120	7.5%
t	1676594	6.2%
i	1440794	5.3%
E	1438910	5.3%
e	1198012	4.4%
a	1173113	4.3%
n	1114429	4.1%
o	1067178	3.9%
T	920168	3.4%
Other values (63)	12862598	47.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27102108	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2172192	8.0%
S	2038120	7.5%
t	1676594	6.2%
i	1440794	5.3%
E	1438910	5.3%
e	1198012	4.4%
a	1173113	4.3%
n	1114429	4.1%
o	1067178	3.9%
T	920168	3.4%
Other values (63)	12862598	47.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27102108	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2172192	8.0%
S	2038120	7.5%
t	1676594	6.2%
i	1440794	5.3%
E	1438910	5.3%
e	1198012	4.4%
a	1173113	4.3%
n	1114429	4.1%
o	1067178	3.9%
T	920168	3.4%
Other values (63)	12862598	47.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27102108	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2172192	8.0%
S	2038120	7.5%
t	1676594	6.2%
i	1440794	5.3%
E	1438910	5.3%
e	1198012	4.4%
a	1173113	4.3%
n	1114429	4.1%
o	1067178	3.9%
T	920168	3.4%
Other values (63)	12862598	47.5%

VEHICLE TYPE CODE 3
Text

MISSING

Distinct	263
Distinct (%)	0.2%
Missing	1941769
Missing (%)	93.1%
Memory size	69.5 MiB

Length

Max length	35
Median length	30
Mean length	17.68192
Min length	2

Characters and Unicode

Total characters	2541334
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	154 ?
Unique (%)	0.1%

Sample

1st row	Sedan
2nd row	Station Wagon/Sport Utility Vehicle
3rd row	Sedan
4th row	Sedan
5th row	Sedan

Value	Count	Frequency (%)
vehicle	64598	18.5%
utility	49809	14.3%
station	49807	14.3%
sedan	47549	13.6%
wagon/sport	36448	10.4%
passenger	27716	7.9%
	13440	3.9%
wagon	13359	3.8%
sport	13358	3.8%
truck	4365	1.3%
Other values (219)	28575	8.2%

Most occurring characters

Value	Count	Frequency (%)
	205734	8.1%
S	201673	7.9%
t	183663	7.2%
i	151728	6.0%
a	124057	4.9%
e	123604	4.9%
n	121337	4.8%
E	116407	4.6%
o	112351	4.4%
T	77081	3.0%
Other values (52)	1123699	44.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2541334	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	205734	8.1%
S	201673	7.9%
t	183663	7.2%
i	151728	6.0%
a	124057	4.9%
e	123604	4.9%
n	121337	4.8%
E	116407	4.6%
o	112351	4.4%
T	77081	3.0%
Other values (52)	1123699	44.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2541334	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	205734	8.1%
S	201673	7.9%
t	183663	7.2%
i	151728	6.0%
a	124057	4.9%
e	123604	4.9%
n	121337	4.8%
E	116407	4.6%
o	112351	4.4%
T	77081	3.0%
Other values (52)	1123699	44.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2541334	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	205734	8.1%
S	201673	7.9%
t	183663	7.2%
i	151728	6.0%
a	124057	4.9%
e	123604	4.9%
n	121337	4.8%
E	116407	4.6%
o	112351	4.4%
T	77081	3.0%
Other values (52)	1123699	44.2%

VEHICLE TYPE CODE 4
Text

MISSING

Distinct	103
Distinct (%)	0.3%
Missing	2052958
Missing (%)	98.4%
Memory size	65.0 MiB

Length

Max length	35
Median length	30
Mean length	17.978455
Min length	2

Characters and Unicode

Total characters	584947
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	0.1%

Sample

1st row	Station Wagon/Sport Utility Vehicle
2nd row	Sedan
3rd row	Station Wagon/Sport Utility Vehicle
4th row	Sedan
5th row	Sedan

Value	Count	Frequency (%)
vehicle	14990	18.9%
utility	11816	14.9%
station	11816	14.9%
sedan	11508	14.5%
wagon/sport	8964	11.3%
passenger	5970	7.5%
	2859	3.6%
sport	2852	3.6%
wagon	2852	3.6%
truck	804	1.0%
Other values (104)	5065	6.4%

Most occurring characters

Value	Count	Frequency (%)
	47016	8.0%
S	46713	8.0%
t	45036	7.7%
i	36966	6.3%
a	30102	5.1%
e	29891	5.1%
n	29582	5.1%
o	27364	4.7%
E	24670	4.2%
l	18162	3.1%
Other values (47)	249445	42.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	584947	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	47016	8.0%
S	46713	8.0%
t	45036	7.7%
i	36966	6.3%
a	30102	5.1%
e	29891	5.1%
n	29582	5.1%
o	27364	4.7%
E	24670	4.2%
l	18162	3.1%
Other values (47)	249445	42.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	584947	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	47016	8.0%
S	46713	8.0%
t	45036	7.7%
i	36966	6.3%
a	30102	5.1%
e	29891	5.1%
n	29582	5.1%
o	27364	4.7%
E	24670	4.2%
l	18162	3.1%
Other values (47)	249445	42.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	584947	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	47016	8.0%
S	46713	8.0%
t	45036	7.7%
i	36966	6.3%
a	30102	5.1%
e	29891	5.1%
n	29582	5.1%
o	27364	4.7%
E	24670	4.2%
l	18162	3.1%
Other values (47)	249445	42.6%

VEHICLE TYPE CODE 5
Text

MISSING

Distinct	71
Distinct (%)	0.8%
Missing	2076637
Missing (%)	99.6%
Memory size	64.0 MiB

Length

Max length	35
Median length	30
Mean length	18.21452
Min length	2

Characters and Unicode

Total characters	161326
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	0.4%

Sample

1st row	Station Wagon/Sport Utility Vehicle
2nd row	Station Wagon/Sport Utility Vehicle
3rd row	Sedan
4th row	Sedan
5th row	Station Wagon/Sport Utility Vehicle

Value	Count	Frequency (%)
vehicle	4048	18.5%
utility	3354	15.3%
station	3354	15.3%
sedan	3214	14.7%
wagon/sport	2552	11.7%
passenger	1487	6.8%
	804	3.7%
wagon	804	3.7%
sport	802	3.7%
truck	248	1.1%
Other values (69)	1201	5.5%

Most occurring characters

Value	Count	Frequency (%)
	13021	8.1%
t	12829	8.0%
S	12811	7.9%
i	10525	6.5%
a	8498	5.3%
e	8443	5.2%
n	8378	5.2%
o	7809	4.8%
E	6129	3.8%
l	5170	3.2%
Other values (44)	67713	42.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	161326	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	13021	8.1%
t	12829	8.0%
S	12811	7.9%
i	10525	6.5%
a	8498	5.3%
e	8443	5.2%
n	8378	5.2%
o	7809	4.8%
E	6129	3.8%
l	5170	3.2%
Other values (44)	67713	42.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	161326	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	13021	8.1%
t	12829	8.0%
S	12811	7.9%
i	10525	6.5%
a	8498	5.3%
e	8443	5.2%
n	8378	5.2%
o	7809	4.8%
E	6129	3.8%
l	5170	3.2%
Other values (44)	67713	42.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	161326	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	13021	8.1%
t	12829	8.0%
S	12811	7.9%
i	10525	6.5%
a	8498	5.3%
e	8443	5.2%
n	8378	5.2%
o	7809	4.8%
E	6129	3.8%
l	5170	3.2%
Other values (44)	67713	42.0%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	CRASH DATE	CRASH TIME	BOROUGH	ZIP CODE	LATITUDE	LONGITUDE	LOCATION	ON STREET NAME	CROSS STREET NAME	OFF STREET NAME	NUMBER OF PERSONS INJURED	NUMBER OF MOTORIST INJURED	CONTRIBUTING FACTOR VEHICLE 1	CONTRIBUTING FACTOR VEHICLE 2	CONTRIBUTING FACTOR VEHICLE 3	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	COLLISION_ID	VEHICLE TYPE CODE 1	VEHICLE TYPE CODE 2	VEHICLE TYPE CODE 3	VEHICLE TYPE CODE 4	VEHICLE TYPE CODE 5
0	09/11/2021	2:39	NaN	NaN	NaN	NaN	NaN	WHITESTONE EXPRESSWAY	20 AVENUE	NaN	2.0	2	Aggressive Driving/Road Rage	Unspecified	NaN	NaN	NaN	4455765	Sedan	Sedan	NaN	NaN	NaN
1	03/26/2022	11:45	NaN	NaN	NaN	NaN	NaN	QUEENSBORO BRIDGE UPPER	NaN	NaN	1.0	1	Pavement Slippery	NaN	NaN	NaN	NaN	4513547	Sedan	NaN	NaN	NaN	NaN
2	06/29/2022	6:55	NaN	NaN	NaN	NaN	NaN	THROGS NECK BRIDGE	NaN	NaN	0.0	0	Following Too Closely	Unspecified	NaN	NaN	NaN	4541903	Sedan	Pick-up Truck	NaN	NaN	NaN
3	09/11/2021	9:35	BROOKLYN	11208.0	40.667202	-73.866500	(40.667202, -73.8665)	NaN	NaN	1211 LORING AVENUE	0.0	0	Unspecified	NaN	NaN	NaN	NaN	4456314	Sedan	NaN	NaN	NaN	NaN
4	12/14/2021	8:13	BROOKLYN	11233.0	40.683304	-73.917274	(40.683304, -73.917274)	SARATOGA AVENUE	DECATUR STREET	NaN	0.0	0	NaN	NaN	NaN	NaN	NaN	4486609	NaN	NaN	NaN	NaN	NaN
5	04/14/2021	12:47	NaN	NaN	NaN	NaN	NaN	MAJOR DEEGAN EXPRESSWAY RAMP	NaN	NaN	0.0	0	Unspecified	Unspecified	NaN	NaN	NaN	4407458	Dump	Sedan	NaN	NaN	NaN
6	12/14/2021	17:05	NaN	NaN	40.709183	-73.956825	(40.709183, -73.956825)	BROOKLYN QUEENS EXPRESSWAY	NaN	NaN	0.0	0	Passing Too Closely	Unspecified	NaN	NaN	NaN	4486555	Sedan	Tractor Truck Diesel	NaN	NaN	NaN
7	12/14/2021	8:17	BRONX	10475.0	40.868160	-73.831480	(40.86816, -73.83148)	NaN	NaN	344 BAYCHESTER AVENUE	2.0	2	Unspecified	Unspecified	NaN	NaN	NaN	4486660	Sedan	Sedan	NaN	NaN	NaN
8	12/14/2021	21:10	BROOKLYN	11207.0	40.671720	-73.897100	(40.67172, -73.8971)	NaN	NaN	2047 PITKIN AVENUE	0.0	0	Driver Inexperience	Unspecified	NaN	NaN	NaN	4487074	Sedan	NaN	NaN	NaN	NaN
9	12/14/2021	14:58	MANHATTAN	10017.0	40.751440	-73.973970	(40.75144, -73.97397)	3 AVENUE	EAST 43 STREET	NaN	0.0	0	Passing Too Closely	Unspecified	NaN	NaN	NaN	4486519	Sedan	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN

	CRASH DATE	CRASH TIME	BOROUGH	ZIP CODE	LATITUDE	LONGITUDE	LOCATION	ON STREET NAME	CROSS STREET NAME	OFF STREET NAME	NUMBER OF PERSONS INJURED	NUMBER OF PEDESTRIANS INJURED	NUMBER OF MOTORIST INJURED	CONTRIBUTING FACTOR VEHICLE 1	CONTRIBUTING FACTOR VEHICLE 2	CONTRIBUTING FACTOR VEHICLE 3	CONTRIBUTING FACTOR VEHICLE 4	CONTRIBUTING FACTOR VEHICLE 5	COLLISION_ID	VEHICLE TYPE CODE 1	VEHICLE TYPE CODE 2	VEHICLE TYPE CODE 3	VEHICLE TYPE CODE 4	VEHICLE TYPE CODE 5
2085484	03/05/2024	20:40	QUEENS	11375.0	40.722622	-73.849144	(40.722622, -73.849144)	YELLOWSTONE BOULEVARD	GERARD PLACE	NaN	0.0	0	0	Driver Inattention/Distraction	Unspecified	NaN	NaN	NaN	4707384	Sedan	Tractor Truck Diesel	NaN	NaN	NaN
2085485	03/05/2024	7:30	NaN	NaN	40.772953	-73.920280	(40.772953, -73.92028)	26 STREET	HOYT AVENUE NORTH	NaN	0.0	0	0	Turning Improperly	Driver Inattention/Distraction	NaN	NaN	NaN	4707737	Box Truck	Garbage or Refuse	NaN	NaN	NaN
2085486	03/05/2024	14:50	NaN	NaN	40.646000	-73.971750	(40.646, -73.97175)	CHURCH AVENUE	EAST 8 STREET	NaN	2.0	2	0	NaN	NaN	NaN	NaN	NaN	4707432	NaN	NaN	NaN	NaN	NaN
2085487	03/05/2024	14:00	NaN	NaN	40.722250	-74.005920	(40.72225, -74.00592)	CANAL STREET	AVENUE OF THE AMERICAS	NaN	1.0	0	1	Following Too Closely	Following Too Closely	NaN	NaN	NaN	4707476	Sedan	NaN	NaN	NaN	NaN
2085488	02/06/2024	12:37	BROOKLYN	11235.0	40.586670	-73.966156	(40.58667, -73.966156)	OCEAN PARKWAY	AVENUE Z	NaN	1.0	1	0	Unspecified	NaN	NaN	NaN	NaN	4707884	E-Bike	NaN	NaN	NaN	NaN
2085489	03/05/2024	17:22	QUEENS	11436.0	40.680477	-73.792100	(40.680477, -73.7921)	SUTPHIN BOULEVARD	FOCH BOULEVARD	NaN	1.0	0	1	Failure to Yield Right-of-Way	Unspecified	NaN	NaN	NaN	4707511	Station Wagon/Sport Utility Vehicle	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN
2085490	03/05/2024	17:00	BROOKLYN	11204.0	40.610786	-73.978820	(40.610786, -73.97882)	NaN	NaN	161 AVENUE O	1.0	0	1	Driver Inexperience	Unspecified	Unspecified	Unspecified	NaN	4707419	Ambulance	PK	Van	PK	NaN
2085491	03/03/2024	17:50	NaN	NaN	40.675053	-73.947235	(40.675053, -73.947235)	SAINT MARKS AVENUE	NaN	NaN	1.0	0	1	Aggressive Driving/Road Rage	Unspecified	NaN	NaN	NaN	4707855	Station Wagon/Sport Utility Vehicle	PK	NaN	NaN	NaN
2085492	03/05/2024	14:30	BROOKLYN	11207.0	40.677900	-73.892586	(40.6779, -73.892586)	MILLER AVENUE	FULTON STREET	NaN	1.0	1	0	Pedestrian/Bicyclist/Other Pedestrian Error/Confusion	NaN	NaN	NaN	NaN	4707872	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN	NaN
2085493	03/05/2024	8:00	QUEENS	11385.0	40.706512	-73.878136	(40.706512, -73.878136)	EDSALL AVENUE	73 STREET	NaN	1.0	0	1	Failure to Yield Right-of-Way	Unspecified	NaN	NaN	NaN	4707447	Sedan	Station Wagon/Sport Utility Vehicle	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block